Writing in the Genres of the Web
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THE TRUTH CAN CATCH the LIE: the FLAWED UNDERSTANDING of ONLINE SPEECH in INRE Anonymous ONLINE SPEAKERS Musetta Durkeet
THE TRUTH CAN CATCH THE LIE: THE FLAWED UNDERSTANDING OF ONLINE SPEECH IN INRE ANoNYMous ONLINE SPEAKERS Musetta Durkeet In the early years of the Internet, many cases seeking disclosure of anonymous online speakers involved large companies seeking to unveil identities of anonymous posters criticizing the companies on online financial message boards.' In such situations, Internet service providers (ISPs)-or, less often, online service providers (OSPs)2-- disclosed individually- identifying information, often without providing defendants notice of this disclosure,' and judges showed hostility towards defendants' motions to quash.4 Often these subpoenas were issued by parties alleging various civil causes of action, including defamation and tortious interference with business contracts.s These cases occurred in a time when courts and the general public alike pictured the Internet as a wild west-like "frontier society,"' devoid of governing norms, where anonymous personalities ran C 2011 Musetta Durkee. t J.D. Candidate, 2012, University of California, Berkeley School of Law. 1. Lyrissa Barnett Lidsky, Anonymity in Cyberspace: What Can We LearnfromJohn Doe?, 50 B.C. L. REv. 1373, 1373-74 (2009). 2. As will be discussed below, there has been some conflation of two separate services that allow users to access the Internet, on the one hand, and engage in various activities, speech, and communication, on the other. Most basically, this Note distinguishes between Internet Service Providers (JSPs) and Online Service Providers (OSPs) in order to separate those services and companies involved with providing subscribers access to the infrastructure of the Internet (ISPs, and their subscribers) and those services and companies involved with providing users with online applications, services, platforms, and spaces on the Internet (OSPs and their users). -
Social Media Why You Should Care What Is Social Media? Social Network
Social Media Why You Should Care IST 331 - Olivier Georgeon, Frank Ritter 31 oct 15 • eMarketer (2007) estimated by 2011 one-half Examples of all Internet users will use social networking • Facebook regulary. • YouTube • By 2015, 75% use • Myspace • Twitter • Del.icio.us • Digg • Etc… 2 What is Social Media? Social Network • Social Network • Online communities of people who share • User Generated Content (UGC) interests and activities, • Social Bookmarking • … or who are interested in exploring the interests and activities of others. • Examples: Facebook, MySpace, LinkedIn, Orkut • Falls to analysis with tools in Ch. 9 3 4 User Generated Content (UGC) Social Bookmarking • A method for Internet users to store, organize, search, • or Consumer Generated Media (CGM) and manage bookmarks of web pages on the Internet with the help of metadata. • Based on communities; • Defined: Media content that is publicly – The more people who bookmark a piece of content, the more available and produced by end-users (user). value it is determined to have. • Examples: Digg, Del.icio.us, StumbleUpon, and reddit….and now combinations • Usually supported by a social network • Examples: Blogs, Micro-blogs, YouTube video, Flickr photos, Wiki content, Facebook wall posts, reddit, Second Life… 5 6 Social Media Principles Generate an activity stream • Automatic • Who you are – Google History, Google Analytics – Personalization • Blog • Who you know • Micro-blog – Browse network – Twitter, yammer, identi.ca • What you do • Mailing groups – Generate an activity stream -
Empirical Study on Media Monitoring and Internationalisation Resources
MULTISENSOR Mining and Understanding of multilinguaL contenT for Intelligent Sentiment Enriched coNtext and Social Oriented inteRpretation FP7-610411 D2.1 Empirical study on media monitoring and internationalisation resources Dissemination level: Public Contractual date of delivery: Month 6, 30 April 2014 Actual date of delivery: Month 6, 30 April 2014 Workpackage: WP2 Multilingual and multimedia content extraction Task: T2.1 Empirical study Type: Report Approval Status: Final Draft Version: 1.1 Number of pages: 172 Filename: D2.1_EmpiricalStudy_2014-04-30_v1.1.pdf Abstract This empirical study identifies the resources and the type of information that needs to be extracted in the project and their encoding types. In addition it reports information retrieval and crawling techniques that could be employed for the extraction of this information. The information in this document reflects only the author’s views and the European Community is not liable for any use that may be made of the information contained therein. The information in this document is provided as is and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. Page 1 Co-funded by the European Union Page 2 D2.1 – V1.1 History Version Date Reason Revised by 0.1 20/03/2014 Draft V. Aleksić (LT) 0.2 03/04/2014 Comments S. Vrochidis (CERTH), I. Arapakis (BM-Y!) 0.3 15/04/2014 Update V.Aleksić (LT) 0.4 16/04/2014 Document for internal review V.Aleksić (LT) 0.5 24/04/2014 Review A. -
Network Overlap and Content Sharing on Social Media Platforms
Network Overlap and Content Sharing on Social Media Platforms Jing Peng1, Ashish Agarwal2, Kartik Hosanagar3, Raghuram Iyengar3 1School of Business, University of Connecticut 2McCombs School of Business, University of Texas at Austin 3The Wharton School, University of Pennsylvania [email protected] [email protected] {kartikh, riyengar}@wharton.upenn.edu February 15, 2017 Acknowledgments. We benefited from feedback from session participants at 2013 Symposium on Statistical Challenges in eCommerce Research, 2014 International Conference on Information Systems, 2015 Workshop on Information in Networks, 2015 INFORMS Annual Meeting, and 2015 Workshop on Information Systems and Economics. The authors would like to thank Professors Christophe Van den Bulte, Paul Shaman, and Dylan Small for helpful discussions. This project was made possible by financial support extended to the first author through Mack Institute Research Fellowship, President Gutmann's Leadership Award, and Baker Retailing Center PhD Research Grant. 1 Network Overlap and Content Sharing on Social Media Platforms ABSTRACT We study the impact of network overlap – the overlap in network connections between two users – on content sharing in directed social media platforms. We propose a hazards model that flexibly captures the impact of three different measures of network overlap (i.e., common followees, common followers and common mutual followers) on content sharing. Our results indicate a receiver is more likely to share content from a sender with whom they share more common followees, common followers or common mutual followers after accounting for other measures. Additionally, the effect of common followers and common mutual followers is positive when the content is novel but decreases, and may even become negative, when many others in the network have already adopted it. -
How to Write a Scientific Report
How to Write an EEI Contents: 1. Formatting your report………………………………………………………….page 3 Grammar v Tense………………………. page 5 Data V Crap………………………………… page 5 Googling ……………………………………. page 6 Referencing………………………………… page 8 Bibliography………………………………. page 12 2. Planning your investigation…………………………………………………..page 14 Variables……………………………………… page 16 Assumptions……………………………….. page 16 Experimental Replication……………. page 17 Checklist for Experimental Design page 17 3. Writing your Report……………………………………………………………….page 17 Title ……………………………………………… page 19 Abstract ………………………………………. page 20 Introduction…………………………………. page 21 Hypothesis ………………………………….. page 22 Risk Assessment………………………….. page 23 Variables………………………………………. Page 24/25 Method…………………………………………. Page 26 Results…………………………………………. page 27 Discussion ………………………………….. page 28, 29, 30 Conclusion ………………………………….. page 31 Literature Cited / Bibliography ….. page 33 Appendices………………………………….. page 34 APPENDICIES Appendix 1 – Data Analysis Appendix 3 – Scientific Drawings Appendix 4 – Literature Reviews Appendix 5 – Example/model reports Appendix 6 – False Positive Data Analysis FORMATTING YOUR REPORT Before you start Grammar and Tense FORMATTING Data v Crap! Qualitative v Quantitative data „Googling‟ How to search online Referencing How to cite reference within your text Bibliography How to write a scientific bibliography Use past tense, third person when writing your report…. e.g. “The research into the corrosion of metals was performed to see if …..” not “We did the experiment to see if….” FORMATTING “It -
Facebook Timeline
Facebook Timeline 2003 October • Mark Zuckerberg releases Facemash, the predecessor to Facebook. It was described as a Harvard University version of Hot or Not. 2004 January • Zuckerberg begins writing Facebook. • Zuckerberg registers thefacebook.com domain. February • Zuckerberg launches Facebook on February 4. 650 Harvard students joined thefacebook.com in the first week of launch. March • Facebook expands to MIT, Boston University, Boston College, Northeastern University, Stanford University, Dartmouth College, Columbia University, and Yale University. April • Zuckerberg, Dustin Moskovitz, and Eduardo Saverin form Thefacebook.com LLC, a partnership. June • Facebook receives its first investment from PayPal co-founder Peter Thiel for US$500,000. • Facebook incorporates into a new company, and Napster co-founder Sean Parker becomes its president. • Facebook moves its base of operations to Palo Alto, California. N. Lee, Facebook Nation, DOI: 10.1007/978-1-4614-5308-6, 211 Ó Springer Science+Business Media New York 2013 212 Facebook Timeline August • To compete with growing campus-only service i2hub, Zuckerberg launches Wirehog. It is a precursor to Facebook Platform applications. September • ConnectU files a lawsuit against Zuckerberg and other Facebook founders, resulting in a $65 million settlement. October • Maurice Werdegar of WTI Partner provides Facebook a $300,000 three-year credit line. December • Facebook achieves its one millionth registered user. 2005 February • Maurice Werdegar of WTI Partner provides Facebook a second $300,000 credit line and a $25,000 equity investment. April • Venture capital firm Accel Partners invests $12.7 million into Facebook. Accel’s partner and President Jim Breyer also puts up $1 million of his own money. -
Exploring Mood on the Web
ESSE: Exploring Mood on the Web Sara Owsley Sood and Lucy Vasserman Computer Science Department, Pomona College 185 East Sixth Street, Room 232 Claremont, CA 91711 [email protected], [email protected] Abstract Google or Yahoo! afford. Rather, it enables the user to Future machines will connect with users on an emotional browse their topically relevant search results by mood, level in addition to performing complex computations providing the user with a unique perspective on the topic at (Norman 2004). In this article, we present a system that hand. Consider a user wishing to read opinions about the adds an emotional dimension to an activity that Internet new president of the United States. Typing “President users engage in frequently, search. ESSE, which stands for Obama” into a Google search box will return (among other Emotional State Search Engine, is a web search engine that results), a few recent news stories about Obama, the goes beyond facilitating a user’s exploration of the web by Whitehouse’s website, as well as a wikipedia article about topic, as search engines such as Google or Yahoo! afford. him. Typing “President Obama” to a Google Blog Search Rather, it enables the user to browse their topically relevant box user a bit closer to their goal in that all of the results search results by mood, providing the user with a unique perspective on the topic at hand. Consider a user wishing to are indeed blogs (typically opinions) about Obama. read opinions about the new president of the United States. However, where blog search engines fall short is in Typing “President Obama” into a Google search box will providing users with a way to navigate and digest the return (among other results), a few recent news stories about vastness of the blogosphere, the incredible number of Obama, the Whitehouse’s website, as well as a wikipedia results for the query “President Obama” (approximately article about him. -
Lexical Innovation on the Internet - Neologisms in Blogs
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2009 Lexical innovation on the internet - neologisms in blogs Smyk-Bhattacharjee, Dorota Abstract: Studien im Bereich des Sprachwandels beschreiben traditionellerweise diachronische Verän- derungen in den Kernsubsystemen der Sprache und versuchen, diese zu erklären. Obwohl ein Grossteil der Sprachwissenschaftler sich darüber einig ist, dass die aktuellen Entwicklungen in einer Sprache am klarsten im Wortschatz reflektiert werden, lassen die lexikographischen und morphologischen Zugänge zur Beobachtung des lexikalischen Wandels wichtige Fragen offen. So beschäftigen sich letztere typischer- weise mit Veränderungen, die schon stattgefunden haben, statt sich dem sich zum aktuellen Zeitpunkt vollziehenden Wandel zu widmen. Die vorliegende Dissertation bietet eine innovative Lösung zur Un- tersuchung des sich vollziehenden lexikalischen Wandels sowohl in Bezug auf die Datenquelle als auch bzgl. der verwendeten Methodologie. In den vergangenen 20 Jahren hat das Internet unsere Art zu leben, zu arbeiten und zu kommunizieren drastisch beeinflusst. Das Internet bietet aber auch eine Masse an frei zugänglichen Sprachdaten und damit neue Möglichkeiten für die Sprachforschung. Die in dieser Arbeit verwendeten Daten stammen aus einem Korpus englischsprachiger Blogs, eine Art Computer gestützte Kommunikation (computer-mediated communication, CMC). Blogs bieten eine neue, beispiel- lose Möglichkeit, Wörtern nachzuspüren zum Zeitpunkt, in der sie Eingang in die Sprache finden. Um die Untersuchung des Korpus zu vereinfachen, wurde eine Software mit dem Namen Indiana entwickelt. Dieses Instrument verbindet den Korpus basierten Zugang mit einer lexikographischen Analyse. Indiana verwendet eine Kombination von HTML-to-text converter, eine kumulative Datenbank und verschiede Filter, um potentielle Neologismen im Korpus identifizieren zu können. -
La Influencia Del 2.0 En Los Negocios De La Empresa Actual
Empresa 2.0 Proyecto Final de Carrera Ingeniería Técnica Informática de Gestión Autor: Joshua Ivars Medina Tutor: Juan Vicente Oltra Gutiérrez Marzo 2013 Agradecimientos Este trabajo es el resultado de un proceso arduo y laborioso que no hubiera sido posible sin la ayuda de las siguientes personas a las que me gustaría agradecer: A mi tutor, Juan Vicente Oltra, por la atención y orientación que me ha prestado durante todo el proyecto. Al experto en marketing Juan Merodio, que ha sido mi gurú gracias a sus múltiples conferencias que han sido de gran ayuda. Y respondiendo puntualmente todas mis dudas y me ha suministrado información. A mi padre por permitirme hacer mis primeros “experimentos” en esto del marketing digital y que me han sido de gran ayuda para poder aprender a aplicar en la práctica todos estos conocimientos. Mis amigos, mi familia que han estado a mi lado y me han animado y empujado para que avanzara en el proyecto. Me he sentido muy cómodo y realizado trabajando con este proyecto, que espero que sirva de ayuda para cualquier emprendedor o empresario que se quiera iniciar en redes sociales. 1 Tabla de contenido 1. Introducción. Objetivos del PFC ........................................................................................ 3 2. Metodología y Herramientas ............................................................................................ 5 2.1 El 2.0 .................................................................................................................................... 5 2.1.1 ¿Qué es? ...................................................................................................................... -
A Case Study of the Reddit Community
An Exploration of Discussion Threads in Social News Sites: A Case Study of the Reddit Community Tim Weninger Xihao Avi Zhu Jiawei Han Department of Computer Science University of Illinois Urbana-Champaign Urbana, Illinois 61801 Email: fweninge1, zhu40, [email protected] Abstract—Social news and content aggregation Web sites have submission. These comment threads provide a user-generated become massive repositories of valuable knowledge on a diverse and user-curated commentary on the topic at hand. Unlike range of topics. Millions of Web-users are able to leverage these message board or Facebook-style comments that list comments platforms to submit, view and discuss nearly anything. The users in a flat, chronological order, or Twitter discussions that are themselves exclusively curate the content with an intricate system person-to-person and oftentimes difficult to discern, comment of submissions, voting and discussion. Furthermore, the data on threads in the social news paradigm are permanent (although social news Web sites is extremely well organized by its user-base, which opens the door for opportunities to leverage this data for editable), well-formed and hierarchical. The hierarchical nature other purposes just like Wikipedia data has been used for many of comment threads, where the discussion structure resembles other purposes. In this paper we study a popular social news a tree, is especially important because this allows divergent Web site called Reddit. Our investigation looks at the dynamics sub-topics resulting in a more robust overall discussion. of its discussion threads, and asks two main questions: (1) to In this paper we explore the social news site Reddit in order what extent do discussion threads resemble a topical hierarchy? and (2) Can discussion threads be used to enhance Web search? to gain a deeper understanding on the social, temporal, and We show interesting results for these questions on a very large topical methods that allow these types of user-powered Web snapshot several sub-communities of the Reddit Web site. -
Zach Christopherson PHIL 308 Term Paper March 22, 2009
Zach Christopherson PHIL 308 Term Paper March 22, 2009 Online Communities and the Ethics of Revolt With the creation and widespread use of the Internet in the 1980s came Internet communities. They were originally started in newsgroups, message boards, and Internet forums. A regular group of members would consistently post and exchange ideas and information with one another. Relationships were formed and these communities became permanent entities, usually remaining on the sites where they were created. From time to time a community’s home becomes threatened. This can occur when a site is taken down by the owners, the site becomes obsolete and is replaced by a competitor, or the community migrates to a new home for reasons like censorship or discrimination. Some of the largest online communities exist on message board sites such as GenMay.com (General Mayhem), LiveJournal.com, and 4chan.org. These members share common likes and dislikes which bring them together for general socialization. Over the span of a community’s life differences can arise between the site administrators and the site community that can cause a revolt by the community against the website on which it was created. One of the most popular social news websites on the Internet is Digg.com, which was launched on December 4, 2004 and has housed a strong Internet community since then. The purpose of Digg is to compile many user-submitted news stories and have the community either rate them up (Digg them) or rate them down (Bury them). These ratings are stored on the site and a running counter is shown to the left of the news article title. -
PANAHI-.Pdf (1.237Mb)
© Copyright by Hesam Panahi, 2010 USER-GENERATED CONTENT AND REVOLUTIONS: TOWARDS A THEORIZATION OF WEB 2.0 A Dissertation Presented to The Faculty of the C.T. Bauer College of Business University of Houston In Partial Fulfillment Of the Requirements for the Degree Doctor of Philosophy By Hesam Panahi December, 2010 Introduction ............................................................................................................ 1 Dissertationʼs Research Objective ..................................................................... 2 Dissertationʼs Research Methodology ................................................................ 3 References ......................................................................................................... 5 Paper One: A Critical Study of Social Computing and Web 2.0: The Case of Digg ............................................................................................................................... 6 Introduction ........................................................................................................ 7 Theoretical Background ..................................................................................... 9 Critical Studies of IS ....................................................................................... 9 A Critical Framework for Studying Social Computing ................................... 10 Research Methods ........................................................................................... 15 Why an Interpretive Approach .....................................................................